Senior Developer, Snowflake & Databricks
Tasks
- Build PySpark data transformations
- Build Snowflake ELT pipelines
- Configure Snowflake stages file formats copy and snowpipe
- Create and optimize Databricks workflows and jobs
- Debug pipeline failures and perform root cause analysis
- Design and build data pipelines with Azure Data Factory
- Develop and optimize Databricks notebooks
- Develop and optimize Snowflake SQL
- Document pipelines workflows and data models
- Ensure governance security and regulatory compliance
- Implement ETL ELT workflows with Spark SQL and Snowflake
- Implement Git version control
- Implement Snowflake streams tasks and materialized views
- Integrate data from relational databases APIs files and cloud platforms
- Manage Delta Lake tables and schema evolution
- Optimize Snowflake virtual warehouses and cost governance
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Blob | Azure Blob Storage | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Synapse | Azure Synapse Analytics | Blob Storage | CI/CD | CTE | Data Factory | Data Lake Storage | Data masking | Databricks | Delta Lake | Git | GitHub Actions | Materialized views | PySpark | RBAC | SQL | Snowflake | Snowflake SQL | Snowflake Streams | Snowflake Tasks | Snowpipe | Spark SQL | Synapse Analytics | Virtual Warehouse | Window Functions
Roles
Data Engineer | Databricks Developer | Developer | Engineer | Snowflake Developer
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